byte[] customData = new byte[8];
        customData[0] = 0x01;
        customData[1] = 0x02;

        byte[] machineId = new byte[32];
        machineId[0] = 0x10;
        machineId[1] = 0x11;
        machineId[2] = 0x12;

        AvSingleHost avSingleHost = new AvSingleHost(customData, machineId);

        assertNotNull(avSingleHost);
        byte[] value = avSingleHost.getRaw();
        assertNotNull(value);

        this(encode(customData, machineId));
    }

    private static byte[] encode(final byte[] customData, final byte[] machineId) {
        final int size = 8 + 8 + 32;
        final byte[] enc = new byte[size];
        SMBUtil.writeInt4(size, enc, 0);
        SMBUtil.writeInt4(0, enc, 4);
        System.arraycopy(customData, 0, enc, 8, 8);
        System.arraycopy(machineId, 0, enc, 16, 32);

        NetbiosAddress mockHost = mock(NetbiosAddress.class);
        SecureRandom mockRandom = mock(SecureRandom.class);

        // Create a machine ID (32 bytes)
        byte[] machineId = new byte[32];
        mockRandom.nextBytes(machineId);

        lenient().when(mockConfig.getDefaultDomain()).thenReturn("TESTDOMAIN");
        lenient().when(mockConfig.isUseUnicode()).thenReturn(true);

        this.localTimeZone = TimeZone.getDefault();
        this.random = new SecureRandom();

        if (this.machineId == null) {
            final byte[] mid = new byte[32];
            this.random.nextBytes(mid);
            this.machineId = mid;
        }

        if (this.nativeOs == null) {
            this.nativeOs = System.getProperty("os.name");
        }

        // Use reflection to set private field
        java.lang.reflect.Field machineIdField = BaseConfiguration.class.getDeclaredField("machineId");
        machineIdField.setAccessible(true);
        machineIdField.set(testConfig, customMachineId);

        testConfig.initDefaults();

        assertArrayEquals(customMachineId, testConfig.getMachineId());
    }

    @Test

Linux containers run using the same Linux kernel of the host (machine, virtual machine, cloud server, etc). This just means that they are very lightweight (compared to full virtual machines emulating an entire operating system).

This way, containers consume **little resources**, an amount comparable to running the processes directly (a virtual machine would consume much more).

    /**
     * A Hybrid node tries to resolve a name using the nameserver first. If
     * that fails use the broadcast address. This is the default if a nameserver
     * is provided. This is the behavior of Microsoft Windows machines.
     */

    public static final int H_NODE = 3;

    /**
     * Unknown MAC Address
     */

### Create a backup job

#### Backup Virtual Machines with Veeam Backup and Replication

- Under Home > Jobs > Backup in Navigation Pane, click on Backup Job button in the ribbon and choose Virtual Machine. Follow the on screen wizard.

- On the Storage screen, choose the Scale-out Backup Repository that was configured previously.

### Server Memory { #server-memory }

For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.

And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨

- Added a detailed event for in-place pod vertical scaling completed, improving cluster management and debugging. ([#130387](https://github.com/kubernetes/kubernetes/pull/130387), [@shiya0705](https://github.com/shiya0705)) [SIG API Machinery, Apps, Autoscaling, Node, Scheduling and Testing]